
Dingqiang Ye
Email: bugjudger [at] gmail [dot] com
Google Scholar /
Github /
CV
I am an incoming Ph.D. student in Electrical and Computer Engineering at Johns Hopkins University,
where I will be advised by Prof. Vishal Patel.
I earned my M.S. (2025) and B.E. (2022) in Computer Science from SUSTech,
advised by Prof. Shiqi Yu.
In 2024, I was also fortunate to spend eight months as a visiting scholar at Michigan State University,
supervised by Prof. Xiaoming Liu.
My research goal is to develop recognition intelligent that can accurately re-identify objects in the physical world and bring a positive impact on people's lives.
To this end, my interests lie at vision foundation models, object re-identification and generative AI.
Currently, I am working on leveraging large vision models to identify human subjects at a distance.
Publications ( show selected / show by date / show by topic )
Topics: Computer Vision / (* indicates equal contribution and † indicates equal advising)
BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
Dingqiang Ye*, Chao Fan*, Zhanbo Huang, Chengwen Luo, Jianqiang Li, Shiqi Yu, Xiaoming Liu
Arxiv 2025
/
Paper
SapiensID: Foundation for Human Recognition
Minchul Kim, Dingqiang Ye, Yiyang Su, Feng Liu, Xiaoming Liu
CVPR 2025
/
Paper

BigGait: Learning Gait Representation You Want by Large Vision Models
Dingqiang Ye*, Chao Fan*, Jingzhe Ma, Xiaoming Liu, Shiqi Yu

Pedestrian Attribute Editing for Gait Recognition and Anonymization
Jingzhe Ma*, Chao Fan*, Dingqiang Ye, Shiqi Yu
Arxiv 2023
/
Paper
Experience

Visiting Scholar, Michigan State University
Apr. 2024 -- Dec. 2024
Working on an IARPA-funded program, BRIAR.
Human Recognition at Long Range and from High Altitude

Software Engineer Intern, Tencent
Jul. 2021 -- Sep. 2021Worked for WeTV, one of China's largest online video platforms, backend development team.
Teaching

Teaching Assistant, SUSTech
Sep. 2019 -- Jul. 2023
Projects

Contributor, OpenGait
Jul 2022 -- Apr 2024A flexible and extensible gait analysis project. The corresponding paper has been accepted by CVPR2023 as a highlight paper.

Leader, SUSTech Tower Defense Game
Sep 2020 -- Jan 2021A Tower Defence Game based on Unity 3D, using scale models of Minecraft SUSTech.